MEWS, qSOFA and Physiological Parameters Combination in the Emergency Room

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

950 participants

Study Classification

INTERVENTIONAL

Study Start Date

2022-03-20

Study Completion Date

2023-09-30

Brief Summary

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In the development of sepsis treatment of recent years, the demand for medical manpower has increased significantly when patients with sepsis appear because of the expansion of medical care demand and shortened response time related to sepsis Due to the shortage of manpower, a more simple and easy-to-operate inspection method is adopted and artificial intelligence technology is used to assist in the evaluation.

The applicability of physiological indicators MEWS, qSOFA and physiological parameters combination as sepsis screening tools in emergency department (ED) and predicting sepsis outcome in the emergency department. When patients with sepsis appear, artificial intelligence technology is used to remind the physicians to respond and administer drugs as soon as possible.

This is a single-center retrospective study of a group of patients admitted to the emergency department. The medical records were reviewed, mainly based on the hospital site records and the existing vital signs of the patients. Attended a hospital emergency room between January 2020 and December 2022. Physiological numerical indicators MEWS and qSOFA were all scored to understand the distribution of sepsis.

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Detailed Description

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1. A single-center retrospective study of a cohort of patients admitted to the emergency department
2. To see a doctor in the emergency department of the hospital between January 2020 and December 2022, review their medical records, and focus on the hospital's on-site records and the existing patient's vital signs.
3. The physiological indicators MEWS and qSOFA were scored to understand the distribution of sepsis.
4. Remind the doctor when a suspected sepsis patient appears under level 5 triage and use artificial intelligence technology to assist
5. This study will explore the specific improvement practices and effects of improving the response of patients with sepsis when they see a doctor
6. To analyze and evaluate the economics and benefits of this operation mode, improve the accuracy of emergency inspection of sepsis patients and improve the rationality of hospital manpower deployment
7. Scheduled progress of the plan: Patients who visited the emergency department of the hospital between January 2020 and December 2022 were included in this study under investigation. This is a retrospective study, and patients are required to undergo necessary examinations according to their own conditions, without any interference from the study

Conditions

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Sepsis

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

In a cross-sectional study, the investigator measures the outcome and the exposures in the study participants at the same time.

Primary Study Purpose

SCREENING

Blinding Strategy

NONE

Mask all identified labels in all raw data

Study Groups

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qSOFA, MEWS and physiological parameters combination

Modified Early Warning Score(MEWS), quick Sequential Organ Failure Assessment(qSOFA) and physiological parameters combination are used in prediction of occurrence of sepsis

Group Type OTHER

qSOFA, MEWS and physiological parameters combination

Intervention Type OTHER

qSOFA ,MEWS and physiological parameters combination used in emergency medicine department could be helpful in the identification of the occurrence of sepsis

Interventions

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qSOFA, MEWS and physiological parameters combination

qSOFA ,MEWS and physiological parameters combination used in emergency medicine department could be helpful in the identification of the occurrence of sepsis

Intervention Type OTHER